Short-term solar radiation forecasting using machine learning models under different sky conditions: evaluations and comparisons
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-31246-5.pdf
Reference38 articles.
1. Alzahrani A, Shamsi P, Dagli C, Ferdowsi M (2017) Solar irradiance forecasting using deep neural networks. Procedia Comput Sci 114:304–313. https://doi.org/10.1016/j.procs.2017.09.045
2. Baser F, Demirhan H (2017) A fuzzy regression with support vector machine approach to the estimation of horizontal global solar radiation. Energy 123:229–240. https://doi.org/10.1016/j.energy.2017.02.008
3. Belmahdi B, Louzazni M, Bouardi AE (2020a) A hybrid ARIMA–ANN method to forecast daily global solar radiation in three different cities in Morocco. Eur Phys J Plus 135(11):1–23. https://doi.org/10.1140/epjp/s13360-020-00920-9
4. Belmahdi B, Louzazni M, Bouardi AE (2020b) One month-ahead forecasting of mean daily global solar radiation using time series models. Optik 219:165207. https://doi.org/10.1016/j.ijleo.2020.165207
5. Belmahdi B, Louzazni M, Akour M, Cotfas DT, Cotfas PA, El Bouardi A (2021) Long-term global solar radiation prediction in 25 cities in Morocco using the FFNN-BP method. Front Energy Res 9:733842. https://doi.org/10.3389/fenrg.2021.733842
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation;Alexandria Engineering Journal;2024-10
2. Prediction of daily global solar radiation in different climatic conditions using metaheuristic search algorithms: a case study from Türkiye;Environmental Science and Pollution Research;2024-06-19
3. Prediction of daily photovoltaic plant energy output using machine learning;Energy Sources, Part A: Recovery, Utilization, and Environmental Effects;2024-04-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3